Eric Suchyta Computer Scientist Contact 865.576.6340 | SUCHYTAED@ORNL.GOV All Publications Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey... First coupled GENE–XGC microturbulence simulations Dark Energy Survey Year 1 results: the lensing imprint of cosmic voids on the cosmic microwave background Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey... Increasing the census of ultracool dwarfs in wide binary and multiple systems using Dark Energy Survey DR1 and Gaia DR2 data Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects Spatial core-edge coupling of the particle-in-cell gyrokinetic codes GEM and XGC Processing Full-Scale Square Kilometre Array Data on the Summit Supercomputer A DESGW Search for the Electromagnetic Counterpart to the LIGO/Virgo Gravitational-wave Binary Neutron Star Merger Candidate S190510g First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps – validation on simulations STRIDES: Spectroscopic and photometric characterization of the environment and effects of mass along the line of sight to the gravitational lenses DES J0408–5354 and WGD 2038–4008 Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs The host galaxies of 106 rapidly evolving transients discovered by the Dark Energy Survey Validation of selection function, sample contamination and mass calibration in galaxy cluster samples Discovery of a candidate binary supermassive black hole in a periodic quasar from circumbinary accretion variability Candidate periodically variable quasars from the Dark Energy Survey and the Sloan Digital Sky Survey... Noise from undetected sources in Dark Energy Survey images Modelling the Milky Way – I. Method and first results fitting the thick disc and halo with DES-Y3 data Dark Energy Survey identification of a low-mass active galactic nucleus at redshift 0.823 from optical variability Visualization as a Service for Scientific Data Weak lensing of Type Ia Supernovae from the Dark Energy Survey The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys Studying Type II supernovae as cosmological standard candles using the Dark Energy Survey ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management Pagination First page « First Previous page ‹â¶Ä¹ … Page 7 Current page 8 Page 9 … Next page ›â¶Äº Last page Last » Key Links Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Data and AI Systems Section Workflow Systems Group
